Instructions to use FremyCompany/roberta-large-nl-oscar23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FremyCompany/roberta-large-nl-oscar23 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FremyCompany/roberta-large-nl-oscar23")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FremyCompany/roberta-large-nl-oscar23") model = AutoModelForMaskedLM.from_pretrained("FremyCompany/roberta-large-nl-oscar23") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
RobBERT-2023: Keeping Dutch Language Models Up-To-Date
RobBERT-2023 is the 2023 release of the Dutch RobBERT model.
It is a new version of original pdelobelle/robbert-v2-dutch-base model on the 2023 version of the OSCAR version.
We release a base model, but this time we also release an additional large model with 355M parameters (x3 over robbert-2022-base). We are particularly proud of the performance of both models, surpassing both the robbert-v2-base and robbert-2022-base models with +2.9 and +0.9 points on the DUMB benchmark from GroNLP. In addition, we also surpass BERTje with +18.6 points with robbert-2023-dutch-large.
This is the same model with the same weights as DTAI-KULeuven/robbert-2023-dutch-large.
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